3D Facial Feature Location Based on Local Shape Map

摘要：

Automatic location of face salient points is one of the key steps in 3D face recognition. This paper presents a fully automatic locating algorithm for 3d facial nose tip and inner eye corner in different views, which relies on a statistical model by combining local shape map and local shape index with the statistical radius of the local shape map. The experimental results on the CASIA 3D face database demonstrate that this method finds more precise location than heuristic algorithms and curvaturebased methods.

关键词： salient point detection Shape indez Curvedness Local shape map SVM

作者: Wang Mi-gong Chen Duan-sheng

作者单位: Department of Computer Science and Technology, Huaqiao University Xiamen, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）